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Website: https://www.elucidata.io/
Elucidata leverages its platform, Polly to augment the quality of data in pre-clinical drug discovery. It curates multi-omics and assay data to make them ML-ready or analysis-ready. Our exceptional multi-disciplinary team of experts use Polly’s powerful curation engine to harmonize a diverse array of data-types, curate metadata and process data consistently at affordable costs while maintaining information-richness. We are one of the only companies to offer a tech-enabled approach to multi-modal data curation that serves the life science industry. Polly’s technology and experts have helped R&D teams arrive at multiple validated drug targets across immunology, oncology, and metabolomic disorders. Currently, 25+ research organizations, including 4 of the largest 10 pharma companies are using Polly and its allied solutions to accelerate their discovery programs. Many other data-driven healthcare companies also use Polly to process, harmonize and store public or in-house biomedical data.
Address: 114 Sansome Street, Suite 250 San Francisco, CA 94104
Phone No: 9716140329
Contact Email: info@elucidata.io
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https://www.elucidata.io/solutions/core-facilities

Core Facilities
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Core Facilities

Drive Operational Excellence in Your Core Facility with Streamlined Data Management
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Scale Diagnostics Workflows on Polly’s Cloud Environment

Run production-ready diagnostics pipelines at scale on Polly’s cloud environment for efficient and streamlined healthcare data processing.
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Overcoming Challenges in Multi-Omics Patient Stratification

Challenges on the Frontier: Multi-Omics Data and Patient Stratification—Addressing the Issues
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https://www.elucidata.io/solutions/meta-analysis

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Meta-Analysis of Harmonized Data on Polly for Molecular Insights

Perform meta-analysis on meticulously curated omics data on Polly to identify molecular signatures and accelerate research insights.
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How to Compare Gene Signatures on Polly

The highly curated data on Polly helps researchers acquire datasets with similar transcriptional profiles to their gene sets of interest for gene signature comparison.
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